MATLAB Image Denoising Script Enhancementt

Job ID: 39094210

Budget: ₹1,500 – ₹12,500 INR

I have an automated MATLAB script designed for image denoising problems (IDP). I need assistance with refining the results output, enhancing the script to combine autoencoders with a conjugate gradient optimization method, and creating two versions of the script to handle salt-and-pepper noise and Gaussian noise.

Key Tasks:
- Troubleshoot and improve the results output, focusing on the number of iterations (NOI), computational time (tCPU), Peak Signal to Noise Ratio (PSNR), Figure of Merit (FOM), Mean Squared Error (MSE), Structural Similarity Index (SSIM), and Relative Error (RE).
- Integrate a conjugate gradient optimization method with autoencoders to enhance the image denoising process.
- Develop two distinct versions of the script: one tailored for salt-and-pepper noise, and the other for Gaussian noise.

Ideal Skills and Experience:
- Proficient in MATLAB, with a strong background in image processing and denoising techniques.
- Experience with autoencoders and various optimization methods, particularly the conjugate gradient method.
- Ability to troubleshoot complex scripts and improve their performance.
- Familiarity with handling different types of noise in image processing.

I will provide few articles as references